Building Supervised Fine-Tuning Data from NVIDIA Open-SWE-Traces: Trajectory Parsing, Patch Analysis, Token Budgets, and Tool-Use Metrics

作者: ybx-ai-radar 分类: AI 新闻发布时间: 2026-06-27 10:14

AI 摘要

AI 摘要：In this tutorial, we work with NVIDIA's Open-SWE-Traces dataset to study agentic software-engineering trajectories for fine-tuning. We stream the data directly from Hugging Face, s

来源 MarkTechPost

原文时间 2026-06-27 08:02

重要性评分 68 / 100

相关实体 AI News, Machine Learning, Research

核心摘要

AI 摘要：In this tutorial, we work with NVIDIA's Open-SWE-Traces dataset to study agentic software-engineering trajectories for fine-tuning. We stream the data directly from Hugging Face, s

为什么重要

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关键信息

来源：MarkTechPost
分类：news
标签：AI News、Machine Learning、Research
原文链接：https://www.marktechpost.com/2026/06/26/building-supervised-fine-tuning-data-from-nvidia-open-swe-traces-trajectory-parsing-patch-analysis-token-budgets-and-tool-use-metrics/